Instructions to use tjayant/setfit-jt-multilabel-example with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use tjayant/setfit-jt-multilabel-example with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("tjayant/setfit-jt-multilabel-example") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - setfit
How to use tjayant/setfit-jt-multilabel-example with setfit:
from setfit import SetFitModel model = SetFitModel.from_pretrained("tjayant/setfit-jt-multilabel-example") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8ab288b32d86b28dc56e650527f3f2ce195c11d6eafa581cae8ad7024e6b63e5
- Size of remote file:
- 438 MB
- SHA256:
- 827613597c91616916607878cb51727efc17e4c09ed3cfda0c754b663682041b
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